An evolutionary analysis of low-carbon strategies based on the government–enterprise game in the complex network context
By Bin Wu, Pengfei Liu, Xuefei Xu. 2017
204 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistical and Nonlinear Physics, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/51c9697c9a0d9b7071415f8667e56b5d51835a02
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- R. Merrill
- G. Mendis
- J. Sutherland
- Fu Zhao
- Yafei Zu
- Dong Mu
- Wen Tong
- Da-ming You
Citations in the corpus
- Research on low-carbon strategies in supply chain with environmental regulations based on differential game (2018, background): “These administrative measures exert pulling power to motivate the supply chain to reduce its emissions (Wu et al., 2017).”
- The impact of cap-and-trade mechanism and consumers’ environmental preferences on a retailer-led supply Chain (2019, methodology): “Thus, evolutionary game theory is an important method that can be used to investigate the dynamic impact of government incentive policies to reduce carbon emissions (Wu et al., 2017) on the strategies and behaviors of enterprises.”
- Implementation of a multi-agent environmental regulation strategy under Chinese fiscal decentralization: An evolutionary game theoretical approach (2019, background): “EGT is a promising tool with which to model social dilemmas grounded in problems of individual cooperation (Wu et al., 2017), allowing researchers to delineate and simulate mutually interactive outcomes among game players or groups whose strategic behaviors shape each other's payoffs.”